Are you ready to join Leidos allstar team Through training teamwork and exposure to challenging technical work let Leidos show how to accelerate your career path.
Are you a Data Scientist that likes to perform researchlevel data science/analytics
Come support a major program advancing the state of the art in missionfocused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives swiftly produce and analyze results disseminate findings and contribute to publications and presentations with actionable intelligence insights. While most work is conducted onsite at our client location in Bethesda MD we offer a flexible schedule and occasionally some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables.
Fun stuff you will do:
- Work closely with an experienced and tightknit team of data scientists as well as a larger team of software developers network engineers senior investigators program managers researchers and data analysts to design build and optimize Data Science capabilities in test and production. The platform enables data ingest processing enrichment and search to produce and analyze results disseminate findings and contribute to publications and presentations.
- Work on small projects analyzing a variety of big data (structured and unstructured) covering national security cyber security business intelligence social media human behavior and more.
- Support multiple simultaneous projects and take openended or highlevel guidance independently and collaboratively make discoveries that are missionrelevant and package and deliver the findings to a nontechnical audience.
- Bring your mix of intellectual curiosity quantitative acumen and customerfocus to identify novel sources of data across a range of fields to improve the performance of predictive algorithms and to encourage user adoption of highend data analytics platforms in partnership with a highly qualified highly motivated team.
- Leverage your strong background in research design exploratory analysis quantitative methods user interface application design and experience with customer outreach and engagement.
To be successful in this role you need the following (required):
- B.S. Degree in a quantitative or analytical field such as Computer Science Mathematics Economics Statistics Engineering Physics or Computational Social Science; or Masters degree or equivalent graduate degree including certificatebased advanced training courses
- 8 years of experience in data science analytics or quantitative intelligence analysis and demonstrating progressive technical development and outcomes.
- Must have an active TS clearance and must be able to achieve a TS/SCI clearance with Polygraph
- Proficiency in one or more scripting languages such as R or Python
- Experience working with a hybrid team of analyst engineers and developers to conduct research and build and deploy complex but easytouse algorithms and analytical platforms
- Previous experience performing Research in data analytics or big data;
- Track record of active learning and creative problem solving
- Ability to analyze and assess software development or data acquisition requirements and determine optimum costeffective solutions.
- Familiarity using git svn JIRA or other version control technologies
You will wow us even more if you have some of these skills:
- Data analytics experience in direct support if military or intelligence community customers demonstrating progressive technical development and missionfocused outcomes;
- Significant experience dealing with structured and unstructured data of at least two of the following data classes: open source publicly available information (PAI); forensic media (i.e. DOMEX); measurement and signatures intelligence (MASINT).
- Experience with Knowledge Graphs and KG tech such as neo4j or graph ML
- Previous experience developing predictive algorithms image classifiers object detectors and others
- Previous experience with information retrieval search Structured Query Language (SQL) and/or Elastic Stack (Elasticsearch and Kibana)
- Deployment of data science applications (e.g. Streamlit) using Docker Kubernetes and/or OpenShift
- Social network analysis supply chain analysis forensic accounting pattern of life natural language processing social media analysis classification algorithms and/or image processing;
- Large Language Models (LLMs) Multimodal Large Language Models (MLLMs) Langchain vLLM llama.cpp
- Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner;
- Familiarity utilizing virtualization and distributed field systems such as Hadoop Ray Spark (or similar distributed file systems) in development and deployment environments;
- Experience with Amazon Web Services (AWS/C2S);
- Familiarity with hardware platforms e.g. CPUs GPUs FPGAs etc.
Original Posting:
March 5 2025
For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $104650.00 $189175.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.